![]() Users are welcome to distribute links to this page without restriction. I have placed this information online in hopes that it will be of useful to a broader set of people. Additional coverage of much of the above material will also be found in the August 2011 Agent-Based Modeling Bootcamp for Health Researchers. Material from other lectures and tutorials outside of the scope of this course can be accessed here. Subtyping and Subclassing, A Brief Glimpse SD, but some applicability to many types of modeling Subscripting in Vensim 2 - Introducing, Progressing between, Mapping and Creating Subranges of Subscriptsĭimensional Reasoning and Dimensional Homogeneity Testing Java Expressions with Statistics, Datasets, UI Widgets and Agent Parameters.aviĪnyLogic general, with concentration on ABM Tradeoffs between Aggregate and Individual-Based Modeling Stochastic Processes in AnyLogic and VensimĪ brief primer on combining decision analysis (including decision trees) with simulation models. Note that the comments on the interpretation of AnyLogic's "M" parameter are erroneous, and are corrected in later lectures. Introduction to the Anylogic Interface & Supporting ConceptsĮvents, Heterogeneity & Basics of Agent Movement in AnyLogicĭiscrete Agent Movement in AnyLogic & Building a Network Model Part 1ĭiscrete Inter-Agent Dynamics Via MessagingĪudio recording (joint with following lecture)Īudio recording (joint with previous lecture)ĪBM & SD. Overview of AnyLogic Interface and infrastructure and Modeling Process Lectures Lecture Title & Link to SlidesĬoncentrates on ABM, but also relevant to SDĮmergence & AnyLogic Software Introduction ![]() Please note that because different lectures concentrate on different types of modeling (Agent-Based, Discrete Event Modeling, and System Dynamics modeling), we have indicated the type of modeling emphasized in each lecture and tutorial using the associated acronyms. ![]() I apologize for the limited audio & video quality for these recordings, but hope you will still find them of value. ![]() The tables below give links to the slides & recordings from the class. This class was designed to be suitable for those from health science background, and includes tutorials to cover essentials of programming & software engineering, including concepts, syntax, and semantics of Java for AnyLogic users. This course placed the greatest emphasis on agent-based modeling, but also offered significant amounts of instruction related to System Dynamics and Discrete Event ("Network-Based") modeling. This page gives links to slides and video and audio recordings offered as part of a full-semester University of Saskatchewan course on health modeling using AnyLogic, held January-April 2011. For basic Agent-Based Modeling material, we strongly advise that the reader refer to the material for the MIT course rather than that included below. This other course includes a systematic introduction to using AnyLogic for Agent-Based Modeling, including hands-on lectures, tutorials, in-class exercises however, the bootcamp does not cover System Dynamics and Decision Analysis integration material included here. We strongly advise the reader to examine instead the more refined, extensive and better-structured material associated with ongoing MIT course 15.879. Please note that most of this material is deprecated. Semester-Length course on Health Modeling Using AnyLogic Semester-Length course on Health Modeling Using AnyLogic
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